Sold by: AlphaSense
Deployed on AWS
Since 2011, our platform has helped financial and business professionals make smarter, more informed decisions, quicker, by leveraging AI to deliver insights as synthesized outputs from the worlds most extensive library of public and private content including company filings, event transcripts, news, trade journals, the largest expert transcript database, and equity research.
4.6
Overview
AlphaSense is an AI platform powering smarter, faster decisions for financial & business professionals. Trusted by 6,000+ of the worlds largest companies and financial institutions, AlphaSense combines domain focused agentic AI with the industrys most comprehensive content set over 500 million premium documents, including equity research, earnings calls, Tegus expert insights, filings and news, alongside internal proprietary data. AlphaSenses suite of AI tools includes a Deep Research agent which can perform dozens of searches, parse through thousands of potentially relevant results, and reason over all of it to produce comprehensive, detailed analysis about any topic. If you would like to discuss custom terms and pricing with our team, please contact us at alphasense-marketplace@alpha-sense.com .
Highlights
- Since 2011, our platform has helped financial and business professionals make smarter, more informed decisions, quicker, by leveraging AI to deliver insights as synthesized outputs from the worlds most extensive library of public and private content - including company filings, event transcripts, news, trade journals, the largest expert transcript database, and equity research.
Details
Sold by
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Deployed on AWS
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Dimension | Description | Cost/12 months |
|---|---|---|
Basic access | Contact us directly for Private Offer pricing | $20,000.00 |
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Delivery details
Software as a Service (SaaS)
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Updated weekly
By AlphaSense
By John Snow Labs
By hyScore.io
Top
10
In Research
Top
10
In Image, Text
Top
10
In Names Entity Recognition - NER, Sentiment Analysis
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Agentic AI Architecture
Domain-focused agentic AI designed to perform multiple sequential searches, parse thousands of results, and reason over comprehensive datasets to produce detailed analysis.
Comprehensive Content Library
Access to over 500 million premium documents including company filings, earnings call transcripts, equity research, news, trade journals, and expert interview database.
Multi-Source Data Integration
Synthesis of insights from public and private content sources including company filings, event transcripts, news, trade journals, expert transcripts, and equity research.
Deep Research Agent Capability
Automated research tool capable of executing dozens of searches, filtering through thousands of potentially relevant results, and generating comprehensive analysis on specified topics.
Internal Data Integration
Support for combining external premium content with internal proprietary data for enhanced analysis and decision-making.
Domain-Specific Pre-trained Models
Access to 1000+ pre-trained models tuned for Finance and Legal verticals, covering entity recognition, entity linking, relations, assertions, text classification, and de-identification tasks.
Scalable NLP Library
Spark NLP library offering 700+ embeddings and 11,000+ pretrained models with support for entity recognition, information extraction, text classification, and translation across multiple languages.
Visual Document Processing
Visual NLP (OCR) software enabling form understanding, table detection and extraction, document classification, entity recognition, signature detection, and image de-identification on unstructured documents.
Finance Domain NLP Capabilities
Finance NLP models supporting financial text classification, financial sentiment analysis, financial Named Entity Recognition, entity-linking to databases such as Edgar and Crunchbase, and financial relation extraction.
Legal Domain NLP Capabilities
Legal NLP models covering Named Entity Recognition, clause information extraction, legal clause classification, legal relationship extraction, entity linking, and legal de-identification across 300+ state-of-the-art models in multiple languages.
Natural Language Processing Capabilities
Named Entity Recognition (NER), keyword extraction with weighted scoring, and text extraction from multiple digital sources
Content Categorization and Classification
Over 750 weighted and scored categories including IAB taxonomy support for website and content classification
Sentiment and Tonality Analysis
Sentiment and tonality detection for analyzed text content
Multi-Language Support
Support for 20+ languages including Chinese, Czech, Dutch, English, Finnish, French, German, Hindi, Hungarian, Italian, Norwegian, Polish, Portuguese, Russian, Spanish, Swedish, Thai, Turkish, and Vietnamese
Real-Time Processing and Scalability
High scalable NLP solution capable of real-time analysis and batch processing with structured JSON response output
Standard contract
No
No
No
Customer reviews
reviewer2818035
AI research has transformed how I analyze filings and save hours on report creation
Reviewed on Apr 19, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for AlphaSense is to pull the history of filings directly from AlphaSense , and I also use it extensively to generate research reports with AlphaSense's artificial intelligence.
A specific example of how extracting the history of filings has helped me in my daily work is that it saves me a lot of time because without AlphaSense I would have to open file by file and manually find the data. Instead, with AlphaSense it gives me the historical record of all the data for the same metric very easily and quickly.
What is most valuable?
The best features that AlphaSense offers are the artificial intelligence and the ability to access private research reports that are in their database.
I would describe the accuracy or usefulness of the analyses that the platform provides me as pretty good since it can do deep research.
AlphaSense has positively impacted my organization by saving time on routine tasks.
I estimate that I manage to save about three hours weekly thanks to AlphaSense.
What needs improvement?
AlphaSense could improve by incorporating an Excel API so that I can extract the information more easily directly with an Excel plugin.
I would like the platform to offer more integration options with other tools that I already use in my organization.
I would like Excel to be integrated directly with AlphaSense.
For how long have I used the solution?
I have been using AlphaSense for two years.
What do I think about the stability of the solution?
I consider AlphaSense to be stable in its daily operation.
What do I think about the scalability of the solution?
I perceive the scalability of AlphaSense as good; I think it can adapt well if my organization grows or my needs change.
How are customer service and support?
I would rate AlphaSense's customer support as not notable because I have not had any experience.
My advice to other people who are considering using AlphaSense is to explore the platform; the AI part is very useful, and if they can schedule a call with customer service so they can receive an initial demo of the platform, that would be very beneficial.
Which solution did I use previously and why did I switch?
I did not previously use another solution; AlphaSense is a complement that we are starting to use.
Before choosing AlphaSense, we did not evaluate other options, and I would not know since I do not make that decision.
How was the initial setup?
My experience with the costs, initial setup, and licensing of AlphaSense is that it could be faster. Regarding the initial setup, it was quite easy, and I would not know about the costs.
What was our ROI?
I have seen a return on investment with AlphaSense in terms of time savings.
Kayde Robert
Research management has transformed our earnings work and consistently saves over half our time
Reviewed on Apr 10, 2026
Review from a verified AWS customer
What is our primary use case?
AlphaSense is used by the Motley Fool's investing team as a research management system. My team uses AlphaSense in research management by building in AI to gather insight on conferences. My team also uses AlphaSense for quarterly earnings reports and material news related to the companies.
What is most valuable?
AlphaSense handles image and screen captures very well. The imaging screen capture feature helps my team in practice by making research notes more useful. Another valuable feature that AlphaSense offers is AI summaries of earnings reports. AlphaSense has positively impacted my organization by allowing us to publish notes in the system to ensure everyone has the latest thinking from coverage analysis.
What needs improvement?
AlphaSense can be improved by having a mechanism to add comments inside my own notes. I also believe AlphaSense could benefit from a mechanism for uploading documents. I give a rating of 9 out of 10 for these reasons.
For how long have I used the solution?
I have been using AlphaSense for five years and two months.
What do I think about the stability of the solution?
AlphaSense is stable.
What do I think about the scalability of the solution?
AlphaSense is very scalable.
How are customer service and support?
The customer support for AlphaSense is very supportive.
Which solution did I use previously and why did I switch?
I previously used Airtable as a research management solution before switching to AlphaSense.
What was our ROI?
I have seen a return on investment in terms of time saved. A specific outcome that shows how AlphaSense has helped my team is that it has saved our team between 40 to 55 percent of our time.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing was that it was cost-effective and friendly.
Which other solutions did I evaluate?
Before choosing AlphaSense, I evaluated other options such as Slack.
What other advice do I have?
My advice for others looking into using AlphaSense is that it is very well suited for investigative teams that need a research management system that has a robust database and rich content management features for note-taking. I give AlphaSense an overall rating of 9 out of 10.
Which deployment model are you using for this solution?
Hybrid Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Patrick C.
Extensive Public Company Data You Can Rely On
Reviewed on Apr 10, 2026
Review provided by G2
What do you like best about the product?
Extensive database of data to draw on especially for publicly traded companies
What do you dislike about the product?
Limited data on private companies, particularly small manufacturing
What problems is the product solving and how is that benefiting you?
Speeds up competitive intelligence function
Gary L.
Exclusive Insights Boost Marketing Strategies
Reviewed on Mar 26, 2026
Review provided by G2
What do you like best about the product?
I like AlphaSense's integrative platform, which provides exclusive insights and expert calls with industry professionals. These features help me understand how to present information to stakeholders and C-suite executives effectively. The platform has informed my reporting and strategy, especially in understanding market shifts and consumer behavior related to price changes.
What do you dislike about the product?
Initial setup was slightly lengthy
What problems is the product solving and how is that benefiting you?
I use AlphaSense to understand market shifts and consumer behavior regarding price changes. It provides integrative insights and expert industry calls that help inform my reporting and strategy, especially when presenting information to stakeholders and planning product launches.
Aldo M.
Easy-to-Navigate Hub for Company Insights
Reviewed on Feb 21, 2026
Review provided by G2
What do you like best about the product?
It concentrates a lot of information from a lot of companies, but it is easy to navigate and find the information you're looking for, making it more accessible and easier to gather insights
What do you dislike about the product?
It doesn't have an Excel plug-in like S&P has, so I can't export data from Alphasense directly into Excel using the plug-in without having to go into the Alphasense platform, download the data, and then make the analysis.
What problems is the product solving and how is that benefiting you?
Aggregating financial data, I can see what the different companies are saying and what their financials are, and the tool provides transcriptions of earnings calls that I can turn into insights. That level of information gives me competitive intelligence, financial benchmarking, industry trends, etc